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Research on regional water environmental carrying capacity based on GIS and TOPSIS comprehensive evaluation model

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Abstract

Water environmental carrying capacity (WECC) is an important indicator for assessing the coordination between the water environment and the social-economic-resources and environment subsystems. In this study, to determine the WECC of Changsha-Zhuzhou-Xiangtan urban agglomeration in Xiang River Basin, a three-level index system was established using an analytic hierarchy process. Because the previous evaluation system lacked continuous indicators, the results could not reflect the differences of WECC within the administrative units, thus, this study selected 4 continuous indicators, and finally an evaluation index system including 15 indicators was established. Based on the TOPSIS model and logistic regression model, the current situation and change trend of WECC in the study area were obtained in ArcGIS. The results showed that the comprehensive WECC in this region was inferior in 2020, particularly in urban concentrated areas, and it was extremely uneven in spatial distribution. The WECC decreased significantly from 2011 to 2014 and gradually improved from 2014 to 2020. According to the prediction results, the WECC will increase in the future, with an average value of 0.54 in 2025 and 0.60 in 2035. This study will have important guiding implications for the protection and improvement of the water environment in the study area and related areas.

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Funding

This research was supported by the program of the National Science Foundation of China (Grant no. 51874352).

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Peng Wang: conceptualization, methodology, software, investigation, data curation, formal analysis, and writing — original draft. Hongwei Deng: validation, formal analysis, visualization, software, and writing — review and editing.

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Correspondence to Hongwei Deng.

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Responsible Editor: Xianliang Yi

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Wang, P., Deng, H. Research on regional water environmental carrying capacity based on GIS and TOPSIS comprehensive evaluation model. Environ Sci Pollut Res 30, 57728–57746 (2023). https://doi.org/10.1007/s11356-023-26574-5

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  • DOI: https://doi.org/10.1007/s11356-023-26574-5

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